Zahra Sohrabi; Mehrdad Moharramzadeh; Rasool Nazari
Abstract
Objective: The aim of this study was to identify critical drivers and uncertainties of Iranian professional clubs through cross-matrix analysis.
Methodology: The research method was an interpretive paradigm, the statistical population was all professionals in the field of professional sports, the participants ...
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Objective: The aim of this study was to identify critical drivers and uncertainties of Iranian professional clubs through cross-matrix analysis.
Methodology: The research method was an interpretive paradigm, the statistical population was all professionals in the field of professional sports, the participants in the research process were selected from among academic and experimental individuals in a completely purposeful manner using the snowball sampling method. The research analysis was conducted by analyzing the content of 20 in-depth interviews, the number of open codes was aggregated and categorized into 114 indicators, the indicators were shared in the form of a list of closed questions between 10 experts using the Delphi technique, and after three rounds of interviews, Delphi, and reaching group agreement, 20 factors affecting clubs were identified; then the extracted factors were evaluated by analyzing the interaction effects and using MicMac software.
Results: The results indicated the identification of 20 key and strategic factors. What can be understood from the scatter diagram of the variables affecting the future formation of professional clubs in Iran is the extremely unstable state of the system. However, several factors are shown near this area, which indicates their ability to influence the entire system. Media, legal and legal infrastructure, improving the knowledge of managers and human resources, and appropriate structures and infrastructures are included in the category of input and influential variables.
Conclusion: The drivers affecting professional sports clubs in Iran include individual, managerial, legal, economic, cultural, social, physical, and political-environmental drivers, and the most important uncertainty includes technology and climatic conditions.
